At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

　　Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale.

　　Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust.

　　Lyft Security builds systems to protect and defend infrastructure. We consult with teams as they build and launch new products and features, proactively plan for the unexpected, and respond to incidents that occur. Our work has company wide impact and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, bikes and scooters. We believe in scaling security through engineering fundamentals, automation, and tooling. Check out our blog posts at https://eng.lyft.com/tagged/security  to learn more about some of the things we’ve built.

　　Detection Engineering owns ingestion of security related events, identification of anomalies, and produces insights to stakeholders across the business.

　　Responsibilities:

　　Help establish roadmaps and prioritize projects based on stakeholders’ needs

　　Understand and develop detections related to security events at Lyft

　　Write well-crafted, well-tested, readable, and maintainable code

　　Participate in code reviews to ensure code quality and distribute knowledge

　　Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices

　　Supporting and improve our existing detection pipelines

　　Lead large projects from idea to successful execution

　　Unblock, support and communicate with internal partners to achieve results

　　Experience:

　　5+ years of software engineering or security engineering industry experience

　　Solid experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts)

　　Exposure to Database technologies including NoSQL (e.g., DynamoDB, Redis, Elasticsearch, etc.)

　　Experience (or deep interest in) working with security systems

　　Understanding of computer network security or major computer networking protocols (e.g. TCP/IP, HTTP, TLS, DNS).

　　Nice to haves: 

　　Experience with Amazon Web Services (AWS) or any other major cloud service provider

　　Kubernetes and container technology experience

　　Benefits:

　　Great medical, dental, and vision insurance options

　　Mental health benefits

　　In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off

　　401(k) plan to help save for your future

　　18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

　　Pre-tax commuter benefits

　　Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

　　Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.  

　　Starting in September 2023, this role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

　　The expected range of pay for this position in the San Francisco area is $160,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.